NEURAL NETWORK MODEL OF AMBIGUOUS SUSPICIOUS DATA DETECTION IN DISTRIBUTED SYSTEMS

Authors

  • Nazarov F.M. Samarkand state university

Keywords:

Distributed systems, LSTM neural network, suspicious transaction, payment information

Abstract

In this article, the problem of developing a neural network model for identifying suspicious information in distributed systems is solved. The LSTM neural network architecture was developed to detect suspicious transactions in payment information monitoring systems and the performance indicator was determined

References

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2.Dam K.W., Lin H. S. Cryptography’s Role in Securing the Information Society // National Academy Press. Washington, -pp.156-165. D.C. 1996.

3.Distributed ledger technology in payments, clearing, and settlement. Finance and Economics Discussion Series 2016-095. Washington: Board of Governors of the Federal Reserve System, -pp.34. https://doi.org/10.17016/FEDS.2016.095. 2016.

4.Dileep M. R., Navaneeth A. V. and Abhishek M., “A novel approach for credit card fraud detection using decision tree and random forest algorithms”, 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), pp. 1025-1028, February 2021.

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Published

2024-11-25

How to Cite

NEURAL NETWORK MODEL OF AMBIGUOUS SUSPICIOUS DATA DETECTION IN DISTRIBUTED SYSTEMS. (2024). Journal of Academic Research and Trends in Educational Sciences, 323-325. https://ijournal.uz/index.php/jartes/article/view/1645

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